Senior Financial Engineer - Capital Markets

Capital Markets CFO - Financial Engineering - Senior Associate

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

As a valued colleague on our team, you will develop and enhance data and analytics solutions supporting Treasury Capital Markets P&L, capital, and return-on-equity reporting. You will use Python, SQL, Tableau, and, where appropriate, R to automate data pipelines and controls, build decision-ready dashboards, investigate complex financial data, and partner with Finance and Technology teams to deliver scalable and well-governed solutions.

The Senior Financial Engineer - Capital Markets role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Design, develop, and maintain Python- and SQL-based data pipelines, analytical utilities, and automated validation routines for large financial datasets.
• Partner with Finance, Treasury, Risk, Accounting, and Technology stakeholders to translate reporting and analytical needs into technical designs, data models, and reusable solutions.
• Build and enhance Tableau dashboards and analytical views that explain TCM P&L, balance, funding cost, required capital, ROE, and key performance drivers.
• Develop prototypes and production-ready analytical code, including data transformations, reconciliations, exception monitoring, and scenario or attribution analysis.
• Translate complex data and technical findings into clear visualizations, documentation, and conclusions for technical and non-technical audiences.
• Collaborate with application developers, data engineers, and financial subject-matter experts to troubleshoot data issues, optimize queries, and improve platform performance and reliability.
• Perform code reviews, unit and regression testing, source-to-target reconciliations, data-quality checks, release validation, and production support for internally developed tools and dashboards.

Minimum Required Experiences:

• 2 years of experience developing data, analytics, automation, or reporting solutions in a finance, risk, or capital markets environment.
• Strong proficiency in SQL, including complex joins, aggregations, data profiling, query optimization, and working with large datasets.
• Hands-on experience using Python for data analysis, automation, ETL, validation, or analytical application development.
• Experience developing and supporting Tableau dashboards, including data connections, calculated fields, performance tuning, and validation of data and visual outputs.
• Experience with software development practices such as version control, modular code, documentation, testing, peer review, and controlled releases.
• Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences:

• Bachelor degree or equivalent in Computer Science, Engineering, Data Science, Analytics, Finance, Financial Engineering, or a related discipline.
• Experience with R for statistical analysis, modeling, or data transformation is preferred but not required.
• Knowledge of AWS, Redshift, data warehousing, APIs, ETL frameworks, or cloud-based analytics platforms.
• Knowledge of accounting P&L, capital markets products, mortgage finance, funds transfer pricing, required capital, or ROE concepts.
• Experience implementing data-quality controls, monitoring, reconciliation frameworks, and production support for business-critical reporting.

Target Pay Range: $109,000 - $142,000 a year

#LI-Hybrid #LI-ME1